Performance Engineer Sr

Dayforce
$80,500 - $143,800Remote

About The Position

We are seeking a Senior Performance Engineer with a strong software engineering background and deep expertise in profiling, debugging, and optimizing application performance at scale. This is a developer-first role focused on improving system efficiency through code-level analysis, architectural insights, and data-driven optimization. You will work closely with engineering teams to identify performance bottlenecks, optimize execution paths, and ensure our platforms are highly scalable, reliable, and cost-efficient. Citizenship Requirement for US Candidates • Must be a US citizen, permanent resident, green card holder of naturalized citizen. • Ability to obtain US security clearance. Note: This position is contingent upon the successful completion of a background clearance in order to operate within the target environment.

Requirements

  • Strong background in software development with a focus on performance optimization
  • Proficiency in one or more programming languages: C# and Python
  • Strong experience with: ASP.NET / .NET application performance tuning and diagnostics
  • Experience with scripting and automation: Python, JavaScript
  • Deep hands-on experience with profiling and debugging tools, such as: SQL Profiler, dotTrace, DebugDiag, WinDbg, Fiddler
  • Strong experience with code-level profiling and optimization techniques
  • Hands-on experience with database performance tuning: MS SQL, MongoDB (query optimization, indexing, execution plans)
  • Proven ability to: Analyze and optimize code for quality, efficiency, and performance, Diagnose complex performance issues in distributed systems
  • Solid understanding of: Microservices and distributed system design, API performance and service interactions
  • Experience with observability and performance monitoring tools, such as: AppDynamics, OpenTelemetry, DBA Dash, Datadog, Prometheus, Grafana
  • Experience working with engineering workflows and tracking systems such as Jira
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact
  • Strong collaboration and communication skills, with the ability to influence technical decisions

Nice To Haves

  • Experience with performance testing tools (e.g., JMeter, Gatling, k6, LoadRunner)
  • Familiarity with CI/CD pipelines and integrating performance validation into workflows
  • Experience with containerization and orchestration (Docker, Kubernetes)
  • Experience with advanced profiling techniques (e.g., flame graphs, heap analysis, thread dumps)
  • Background in cloud cost optimization and efficiency engineering
  • Experience with non-functional requirement (NFR) gathering and performance test planning

Responsibilities

  • Profile, analyze, and optimize application code to improve: Execution efficiency, CPU, memory, and I/O utilization, Latency and throughput
  • Conduct deep-dive investigations into performance issues using tools such as: SQL Profiler, dotTrace, DebugDiag, WinDbg, Fiddler, and observability platforms
  • Identify and resolve performance bottlenecks at the code, database, and system level, leveraging profiling data, logs, and telemetry
  • Analyze and optimize: C# / ASP.NET application performance (threading, async patterns, memory usage, GC behavior), Database queries and execution plans (MS SQL, MongoDB), Network calls and API behavior
  • Collaborate with developers and architects to: Embed performance considerations into system design, Influence architectural decisions for scalability and efficiency, Drive performance-focused code reviews
  • Optimize enterprise SaaS applications across: Multi-tier web architectures, Microservices-based distributed systems
  • Design and execute capacity and scalability experiments to guide system sizing and cost optimization
  • Build and enhance tools to monitor, analyze, and visualize performance metrics in cloud environments
  • Analyze performance data and provide clear, actionable recommendations to engineering and product stakeholders
  • Leverage AI tools to automate analysis, optimize workflows, and improve engineering productivity
  • Contribute to and lead performance engineering best practices across teams

Benefits

  • excellent time away from work programs
  • comprehensive wellness initiatives
  • competitive pay and benefits
  • volunteer days
  • charity, Dayforce Cares
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